NoSQL

1. What’s NoSQL?

NoSQL, which stands for “Not Only SQL”, is a term that encompasses a variety of SQL database management systems, while SQL implies management of data in tabular form, in NoSQL it implies management of data in document in JSON format, graph-based, vector-based, key-value, among others. Unlike SQL databases, which use a fixed schema and are table-based, NoSQL databases are more flexible and allow data storage and retrieval without following a predefined table format.

2. What’s the NoSQL function?

Unlike traditional SQL databases, NoSQL offers flexibility in handling large volumes of data, horizontal scalability, and the ability to manage unstructured or semi-structured information. This is especially beneficial in web applications, large-scale distributed systems, and big data environments, where data storage and retrieval needs vary considerably. NoSQL accommodates diverse data models, such as document, graph, key-value, and columnar databases, providing developers with flexible and specialized options to meet their application requirements.

However, these same advantages also imply greater complexity in maintenance, greater “dirty” information and greater complexity of data structures, although this can be beneficial if the project that is desired to develop data management does not include adapt to the tabular format. In the case of training Machine Learning models, they are useful to obtain raw information before processing since this data management model is usually structured to retain a greater amount of data, a fact that is useful to have a variety of data to choose from beforehand. to start training a Machine Learning or Deep Learning model.

3. Examples of NoSQL languages.

• MongoQL (MongoDB).
• CypherQL (Neo4J).
• CQL (Cassandra and AstraDB).
• DynamoDB API consulting (AWS).
• Redis commands.
• RQL (RavenDB).